[Wikidata-l] A common, open access, human and computer readable data pool for scientist - Wikidata

Sridhar Gutam

4 Apr 4 Apr

2:23 p.m.

New subject: [Wikidata-l] A common, open access, human and computer readable data pool for scientist

Gerd and brought out an important discussion. there is lots of data underutilized in agricultural research too. under the current research on climate change, we need to bring out the data stored in individual desktops and published literature for meaningful analysis. I am also looking for the opportunity work with the community on development of platforms, mechanisms and advocay for open access to data. wikidata project would be best to work with... sridhar __________________________________________________________ Sridhar Gutam PhD, ARS, Patent Laws (NALSAR), IP & Biotech. (WIPO) Senior Scientist (Plant Physiology) Central Institute for Subtropical Horticulture <http://www.cishlko.org> Rehmankhera, Kakori Post Lucknow 227107, Uttar Pradesh, India Phone: +91-522-2841022/23/24; Fax: +91-522-2841025 Mobile:+91-9005760036/8005346136 <https://www.facebook.com/gutamsridhar> <http://www.linkedin.com/in/sridhargutam> <http://twitter.com/gutam2000><http://works.bepress.com/sridhar_gutam/rss.html> On 4 April 2012 19:42, Leukippos Institute < leukipposinstitute(a)googlemail.com> wrote:

...

Hi! I am a synthetic biologist. I see big changes in the way we do science and how we will publish in the future. I see a huge need to publish all scientific data (especially raw data) in a common free accessible data pool. This data should be machine readable. We face in science huge data amounts, huge number of publications. Nobody is longer able to read all the literature. We need a computer assisted system to analyze these data and develop novel concepts from them. We need a structuring of these data on a higher abstraction level. We need to be able to go from abstraction to detail. Thus I see the Wiki data project of potentially big value for scientist. I would like that this project could serve in that manner the scientific community and provide standards for submission of data for scientist. Any plans in this direction? A bit more about the reasons, why I find this very important: I would summarize the upcoming trend in science as this: From Hypothesis to Data-Driven Research, or the End of the Age of Science, and the Dawn of the Age of Systemics. We can observe a paradigm change in science, and two computer developments are responsible. The first is the enormous storage capacity in the cloud. The second is that a huge number of computers have been connected and organized in social networks. These changes have resulted in huge quantities of data and complex systems, a problem normal science cannot solve. The traditional hypothesis method can deal with simple correlations between A and B. But the method fails if the problem becomes more complex. Science has been synonymous with a separating, reductionistic approach. Contemporary science has come to a point where we will change the perspective from reductionism to holism. We now move to a position that sees things together: short systemics. The data-driven science approach changes the scientific method and results in a practice called "science 2.0" (named after web 2.0). "Science" will happen in the cloud, with new publishing formats such as direct publishing on blogs and direct publishing of our data in a human and computer readable database, new and fast ways of collaboration in social networks, and systems theory as the new "science" paradigm. Systems theory is already important in fields such as systems biology and its practical application synthetic biology.see NextGen VOICES, Science 6 January 2012: vol. 335 no. 6064 pp. 36-38 DOI: 10.1126/science.335.6064.36 http://www.sciencemag.org/content/335/6064/36/suppl/DC1 Best Gerd _______________________________________________ Wikidata-l mailing list Wikidata-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata-l

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emijrp

5:13 p.m.

New subject: [Wikidata-l] A common, open access, human and computer readable data pool for scientist

I'm not sure if that kind of data will be desirable at Wikidata (not my personal opinion, just thinking about community). For example, a lot of city articles contain info about temperature and precipitation[1], but, are we going to import into Wikidata all the temperature values from 1900 to present? (daily averages? minute-by minute?) I don't know what are the limits of Wikidata, but, we need some limits to work, probably. [1] http://en.wikipedia.org/wiki/Madrid#Climate 2012/4/4 Leukippos Institute <leukipposinstitute(a)googlemail.com>

...

Hi Sridhar, Nice to hear from you. I hope we can find many scientist to discuss this with us. We need a wide support from the scientific community, because we need to agree on a standardized format for data submission. I would like to know what other scientist think about the semantic web http://en.wikipedia.org/wiki/Semantic_Web as a structure to build a common data pool in which we publish directly our data? I had an interesting discussion with David Bikard<http://www.facebook.com/david.bikard> on this subject on G+ Have a look here http://bit.ly/GWdmX4 David provided some interesting links: http://biocyc.org/ http://linkeddata.org/ http://semanticweb.org/ stackexchange.com Best Gerd On Wed, Apr 4, 2012 at 4:23 PM, Sridhar Gutam <gutam2000(a)gmail.com> wrote:

Gerd and brought out an important discussion. there is lots of data underutilized in agricultural research too. under the current research on climate change, we need to bring out the data stored in individual desktops and published literature for meaningful analysis. I am also looking for the opportunity work with the community on development of platforms, mechanisms and advocay for open access to data. wikidata project would be best to work with... sridhar __________________________________________________________ Sridhar Gutam PhD, ARS, Patent Laws (NALSAR), IP & Biotech. (WIPO) Senior Scientist (Plant Physiology) Central Institute for Subtropical Horticulture <http://www.cishlko.org> Rehmankhera, Kakori Post Lucknow 227107, Uttar Pradesh, India Phone: +91-522-2841022/23/24; Fax: +91-522-2841025 Mobile:+91-9005760036/8005346136 <https://www.facebook.com/gutamsridhar> <http://www.linkedin.com/in/sridhargutam> <http://twitter.com/gutam2000><http://works.bepress.com/sridhar_gutam/rss.html> On 4 April 2012 19:42, Leukippos Institute < leukipposinstitute(a)googlemail.com> wrote:

Hi! I am a synthetic biologist. I see big changes in the way we do science and how we will publish in the future. I see a huge need to publish all scientific data (especially raw data) in a common free accessible data pool. This data should be machine readable. We face in science huge data amounts, huge number of publications. Nobody is longer able to read all the literature. We need a computer assisted system to analyze these data and develop novel concepts from them. We need a structuring of these data on a higher abstraction level. We need to be able to go from abstraction to detail. Thus I see the Wiki data project of potentially big value for scientist. I would like that this project could serve in that manner the scientific community and provide standards for submission of data for scientist. Any plans in this direction? A bit more about the reasons, why I find this very important: I would summarize the upcoming trend in science as this: From Hypothesis to Data-Driven Research, or the End of the Age of Science, and the Dawn of the Age of Systemics. We can observe a paradigm change in science, and two computer developments are responsible. The first is the enormous storage capacity in the cloud. The second is that a huge number of computers have been connected and organized in social networks. These changes have resulted in huge quantities of data and complex systems, a problem normal science cannot solve. The traditional hypothesis method can deal with simple correlations between A and B. But the method fails if the problem becomes more complex. Science has been synonymous with a separating, reductionistic approach. Contemporary science has come to a point where we will change the perspective from reductionism to holism. We now move to a position that sees things together: short systemics. The data-driven science approach changes the scientific method and results in a practice called "science 2.0" (named after web 2.0). "Science" will happen in the cloud, with new publishing formats such as direct publishing on blogs and direct publishing of our data in a human and computer readable database, new and fast ways of collaboration in social networks, and systems theory as the new "science" paradigm. Systems theory is already important in fields such as systems biology and its practical application synthetic biology.see NextGen VOICES, Science 6 January 2012: vol. 335 no. 6064 pp. 36-38 DOI: 10.1126/science.335.6064.36 http://www.sciencemag.org/content/335/6064/36/suppl/DC1 Best Gerd _______________________________________________ Wikidata-l mailing list Wikidata-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata-l

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emijrp

6:57 p.m.

New subject: [Wikidata-l] A common, open access, human and computer readable data pool for scientist

I think that the problem is that Wikidata is not a storage in "the cloud" for all kind of scientific data. In the same fashion Wikipedia is not a portal for papers or academic publications, essays, lyrics, etc. Wikidata scope is not well defined yet, but it will have its limits, for sure. 2012/4/4 Leukippos Institute <leukipposinstitute(a)googlemail.com>

...

Emijrp The storage limit of the sever is a great point. In biomedicine is this also of importance - see e.g. the second generation sequencing data. One might need to go together with NIH and eventually Google to discuss this matter. As a first effort might be a doable focused database desirable. In order not to overload Wikidata server one might need to limit. However, in my opinion need the problem I sketched to be solved. If no solution can be found we might soon reach a point where it does make no sense to continue to collect new biomedical data. At a beginning point this discussion might be very theoretical, because many researchers still stuck to the 300 year old publication model. They do this out of fear for their career.A high impact journal paper results in a tax payer financed academic position. Thus their will be at the beginning a limited number of scientists who will comply and submit open access their raw data in real time. However, if this will be a successfully system, there will be for sure more founding for storage place on a server. The US government has just announced their support research on big data. On Wed, Apr 4, 2012 at 7:13 PM, emijrp <emijrp(a)gmail.com> wrote:

I'm not sure if that kind of data will be desirable at Wikidata (not my personal opinion, just thinking about community). For example, a lot of city articles contain info about temperature and precipitation[1], but, are we going to import into Wikidata all the temperature values from 1900 to present? (daily averages? minute-by minute?) I don't know what are the limits of Wikidata, but, we need some limits to work, probably. [1] http://en.wikipedia.org/wiki/Madrid#Climate 2012/4/4 Leukippos Institute <leukipposinstitute(a)googlemail.com>

Hi Sridhar, Nice to hear from you. I hope we can find many scientist to discuss this with us. We need a wide support from the scientific community, because we need to agree on a standardized format for data submission. I would like to know what other scientist think about the semantic web http://en.wikipedia.org/wiki/Semantic_Web as a structure to build a common data pool in which we publish directly our data? I had an interesting discussion with David Bikard<http://www.facebook.com/david.bikard> on this subject on G+ Have a look here http://bit.ly/GWdmX4 David provided some interesting links: http://biocyc.org/ http://linkeddata.org/ http://semanticweb.org/ stackexchange.com Best Gerd On Wed, Apr 4, 2012 at 4:23 PM, Sridhar Gutam <gutam2000(a)gmail.com>wrote;wrote:

Gerd and brought out an important discussion. there is lots of data underutilized in agricultural research too. under the current research on climate change, we need to bring out the data stored in individual desktops and published literature for meaningful analysis. I am also looking for the opportunity work with the community on development of platforms, mechanisms and advocay for open access to data. wikidata project would be best to work with... sridhar __________________________________________________________ Sridhar Gutam PhD, ARS, Patent Laws (NALSAR), IP & Biotech. (WIPO) Senior Scientist (Plant Physiology) Central Institute for Subtropical Horticulture <http://www.cishlko.org> Rehmankhera, Kakori Post Lucknow 227107, Uttar Pradesh, India Phone: +91-522-2841022/23/24; Fax: +91-522-2841025 Mobile:+91-9005760036/8005346136 <https://www.facebook.com/gutamsridhar> <http://www.linkedin.com/in/sridhargutam> <http://twitter.com/gutam2000><http://works.bepress.com/sridhar_gutam/rss.html> On 4 April 2012 19:42, Leukippos Institute < leukipposinstitute(a)googlemail.com> wrote: > Hi! > > I am a synthetic biologist. I see big changes in the way we do science > and how we will publish in the future. > > I see a huge need to publish all scientific data (especially raw data) > in a common free accessible data pool. This data should be machine > readable. We face in science huge data amounts, huge number of > publications. Nobody is longer able to read all the literature. We > need a computer assisted system to analyze these data and develop > novel concepts from them. We need a structuring of these data on a > higher abstraction level. We need to be able to go from abstraction to > detail. > > Thus I see the Wiki data project of potentially big value for > scientist. I would like that this project could serve in that manner > the scientific community and provide standards for submission of data > for scientist. Any plans in this direction? > > A bit more about the reasons, why I find this very important: > > I would summarize the upcoming trend in science as this: From > Hypothesis to Data-Driven Research, or the End of the Age of Science, > and the Dawn of the Age of Systemics. We can observe a paradigm change > in science, and two computer developments are responsible. The first > is the enormous storage capacity in the cloud. The second is that a > huge number of computers have been connected and organized in social > networks. These changes have resulted in huge quantities of data and > complex systems, a problem normal science cannot solve. The > traditional hypothesis method can deal with simple correlations > between A and B. But the method fails if the problem becomes more > complex. Science has been synonymous with a separating, reductionistic > approach. Contemporary science has come to a point where we will > change the perspective from reductionism to holism. We now move to a > position that sees things together: short systemics. The data-driven > science approach changes the scientific method and results in a > practice called "science 2.0" (named after web 2.0). "Science" will > happen in the cloud, with new publishing formats such as direct > publishing on blogs and direct publishing of our data in a human and > computer readable database, new and fast ways of collaboration in > social networks, and systems theory as the new "science" paradigm. > Systems theory is already important in fields such as systems biology > and its practical application synthetic biology.see NextGen VOICES, > Science 6 January 2012: vol. 335 no. 6064 pp. 36-38 DOI: > 10.1126/science.335.6064.36 > http://www.sciencemag.org/content/335/6064/36/suppl/DC1 > > Best > Gerd > > _______________________________________________ > Wikidata-l mailing list > Wikidata-l(a)lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wikidata-l > _______________________________________________ Wikidata-l mailing list Wikidata-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata-l

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Platonides

10:06 p.m.

New subject: [Wikidata-l] A common, open access, human and computer readable data pool for scientist

On 04/04/12 21:08, Oren Bochman wrote:

...

I would imagine developing such an acdemiwiki could be to developed quite quickly once MW matures. I would need cloud based storage, a source control system, advanced means of authentications. P2P capabilities. But almost all of these things now are avaiable.

A wiki which requires an account to edit would work for most of this. Being readable to everyone, it can be easily replicated, too. For the peer review to really be anonymous, they could submit an anonymized dump of [a subset of] the wiki. (The wiki would belong to the investigation group, not to the publisher)

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Lydia Pintscher

5 Apr 5 Apr

9:53 a.m.

New subject: [Wikidata-l] A common, open access, human and computer readable data pool for scientist

On Wed, Apr 4, 2012 at 4:12 PM, Leukippos Institute <leukipposinstitute(a)googlemail.com> wrote:

...

Hi! I am a synthetic biologist. I see big changes in the way we do science and how we will publish in the future. I see a huge need to publish all scientific data (especially raw data) in a common free accessible data pool. This data should be machine readable. We face in science huge data amounts, huge number of publications. Nobody is longer able to read all the literature. We need a computer assisted system to analyze these data and develop novel concepts from them. We need a structuring of these data on a higher abstraction level. We need to be able to go from abstraction to detail. Thus I see the Wiki data project of potentially big value for scientist. I would like that this project could serve in that manner the scientific community and provide standards for submission of data for scientist. Any plans in this direction?

Hi! It is up to the community to later decide what goes into Wikidata and what doesn't. So I can't give you a "yes this will be ok" or "no this will not happen". However if this is not going to happen in Wikidata itself there is probably demand for a separate instance where this would be possible. Cheers Lydia -- Lydia Pintscher - http://about.me/lydia.pintscher Community Communications for Wikidata Wikimedia Deutschland e.V. Eisenacher Straße 2 10777 Berlin www.wikimedia.de Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin, Steuernummer 27/681/51985.

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Lydia Pintscher

10:21 a.m.

New subject: [Wikidata-l] A common, open access, human and computer readable data pool for scientist

On Thu, Apr 5, 2012 at 12:07 PM, emijrp <emijrp(a)gmail.com> wrote:

...

2012/4/5 Lydia Pintscher <lydia.pintscher(a)wikimedia.de>

However if this is not going to happen in Wikidata itself there is probably demand for a separate instance where this would be possible.

What do you mean?

What I mean is that if this can't be done in Wikidata then someone could go and set up a separate MediaWiki instance with the extensions we're going to write and do that there instead. Cheers Lydia -- Lydia Pintscher - http://about.me/lydia.pintscher Community Communications for Wikidata Wikimedia Deutschland e.V. Eisenacher Straße 2 10777 Berlin www.wikimedia.de Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin, Steuernummer 27/681/51985.

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Oren Bochman

10:48 a.m.

MediaWiki is the software used by Wikipedia and probably will be used for Wikidata too. Since it is an open source and open content, when there is a community problem with content/policy it is possible for users to fork a project by setting up a new instance of the software& data. If Wikidatas community rejects your data it would take lab IT person about an hour to set up your own Wikidata in your lab. Since linked data is supposed to be distributed this would be a public part of the web but still under your control it would be easy to integrate with other projects. Oren Bochman From: wikidata-l-bounces(a)lists.wikimedia.org [mailto:wikidata-l-bounces@lists.wikimedia.org] On Behalf Of emijrp Sent: Thursday, April 05, 2012 12:25 PM To: Discussion list for the Wikidata project. Subject: Re: [Wikidata-l] A common, open access, human and computer readable data pool for scientist Ah, ok. There will be wikidatafarms like Wikia-data : ) 2012/4/5 Lydia Pintscher <lydia.pintscher(a)wikimedia.de> On Thu, Apr 5, 2012 at 12:07 PM, emijrp <emijrp(a)gmail.com> wrote:

...

2012/4/5 Lydia Pintscher <lydia.pintscher(a)wikimedia.de>

However if this is not going to happen in Wikidata itself there is probably demand for a separate instance where this would be possible.

What do you mean?

What I mean is that if this can't be done in Wikidata then someone could go and set up a separate MediaWiki instance with the extensions we're going to write and do that there instead. Cheers Lydia -- Lydia Pintscher - http://about.me/lydia.pintscher Community Communications for Wikidata Wikimedia Deutschland e.V. Eisenacher Straße 2 10777 Berlin www.wikimedia.de Wikimedia Deutschland - Gesellschaft zur Förderung Freien Wissens e. V. Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter der Nummer 23855 Nz. Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin, Steuernummer 27/681/51985. _______________________________________________ Wikidata-l mailing list Wikidata-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata-l

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Leukippos Institute

5:44 p.m.

New subject: [Wikidata-l] A common, open access, human and computer readable data pool for scientist

Great comments! Thank you. I think that the storage capacity might be not such a big problem at all. The data can be stored on the respective scientists webpage and a pointer could be used. Only the pointer needs to be stored on the server. I personally think that there is a need for a semantic web for scientist. I do not fight any journal or institution. There is no need. Neither that a big name supports this. The need is real, because the traditional scientific concept can not deal with big data. If this is usefully the concept will speak for itself. I know already many people who wish this novel kind of publication. In respect to the question of review: Maybe we do not need the traditional reviewer. I think of post publication review in a social network context. I still hope that Wikidata can offer a place for scientists. If anybody has specific interest to work more on this subject, please let me know. I will try in any case continue to work on a semantic web for scientists. On Wed, Apr 4, 2012 at 8:57 PM, emijrp <emijrp(a)gmail.com> wrote:

...

I think that the problem is that Wikidata is not a storage in "the cloud" for all kind of scientific data. In the same fashion Wikipedia is not a portal for papers or academic publications, essays, lyrics, etc. Wikidata scope is not well defined yet, but it will have its limits, for sure. 2012/4/4 Leukippos Institute <leukipposinstitute(a)googlemail.com>

Emijrp The storage limit of the sever is a great point. In biomedicine is this also of importance - see e.g. the second generation sequencing data. One might need to go together with NIH and eventually Google to discuss this matter. As a first effort might be a doable focused database desirable. In order not to overload Wikidata server one might need to limit. However, in my opinion need the problem I sketched to be solved. If no solution can be found we might soon reach a point where it does make no sense to continue to collect new biomedical data. At a beginning point this discussion might be very theoretical, because many researchers still stuck to the 300 year old publication model. They do this out of fear for their career.A high impact journal paper results in a tax payer financed academic position. Thus their will be at the beginning a limited number of scientists who will comply and submit open access their raw data in real time. However, if this will be a successfully system, there will be for sure more founding for storage place on a server. The US government has just announced their support research on big data. On Wed, Apr 4, 2012 at 7:13 PM, emijrp <emijrp(a)gmail.com> wrote:

I'm not sure if that kind of data will be desirable at Wikidata (not my personal opinion, just thinking about community). For example, a lot of city articles contain info about temperature and precipitation[1], but, are we going to import into Wikidata all the temperature values from 1900 to present? (daily averages? minute-by minute?) I don't know what are the limits of Wikidata, but, we need some limits to work, probably. [1] http://en.wikipedia.org/wiki/Madrid#Climate 2012/4/4 Leukippos Institute <leukipposinstitute(a)googlemail.com>

Hi Sridhar, Nice to hear from you. I hope we can find many scientist to discuss this with us. We need a wide support from the scientific community, because we need to agree on a standardized format for data submission. I would like to know what other scientist think about the semantic web http://en.wikipedia.org/wiki/Semantic_Web as a structure to build a common data pool in which we publish directly our data? I had an interesting discussion with David Bikard<http://www.facebook.com/david.bikard> on this subject on G+ Have a look here http://bit.ly/GWdmX4 David provided some interesting links: http://biocyc.org/ http://linkeddata.org/ http://semanticweb.org/ stackexchange.com Best Gerd On Wed, Apr 4, 2012 at 4:23 PM, Sridhar Gutam <gutam2000(a)gmail.com>wrote;wrote: > Gerd and brought out an important discussion. there is lots of > data underutilized in agricultural research too. under the current research > on climate change, we need to bring out the data stored in individual > desktops and published literature for meaningful analysis. > > I am also looking for the opportunity work with the community on > development of platforms, mechanisms and advocay for open access to data. > > wikidata project would be best to work with... > > sridhar > __________________________________________________________ > Sridhar Gutam PhD, ARS, Patent Laws (NALSAR), IP & Biotech. (WIPO) > Senior Scientist (Plant Physiology) > Central Institute for Subtropical Horticulture<http://www.cishlko.org> > Rehmankhera, Kakori Post > Lucknow 227107, Uttar Pradesh, India > Phone: +91-522-2841022/23/24; Fax: +91-522-2841025 > Mobile:+91-9005760036/8005346136 > <https://www.facebook.com/gutamsridhar> > <http://www.linkedin.com/in/sridhargutam> > <http://twitter.com/gutam2000><http://works.bepress.com/sridhar_gutam/rss.html> > > > On 4 April 2012 19:42, Leukippos Institute < > leukipposinstitute(a)googlemail.com> wrote: > >> Hi! >> >> I am a synthetic biologist. I see big changes in the way we do science >> and how we will publish in the future. >> >> I see a huge need to publish all scientific data (especially raw data) >> in a common free accessible data pool. This data should be machine >> readable. We face in science huge data amounts, huge number of >> publications. Nobody is longer able to read all the literature. We >> need a computer assisted system to analyze these data and develop >> novel concepts from them. We need a structuring of these data on a >> higher abstraction level. We need to be able to go from abstraction to >> detail. >> >> Thus I see the Wiki data project of potentially big value for >> scientist. I would like that this project could serve in that manner >> the scientific community and provide standards for submission of data >> for scientist. Any plans in this direction? >> >> A bit more about the reasons, why I find this very important: >> >> I would summarize the upcoming trend in science as this: From >> Hypothesis to Data-Driven Research, or the End of the Age of Science, >> and the Dawn of the Age of Systemics. We can observe a paradigm change >> in science, and two computer developments are responsible. The first >> is the enormous storage capacity in the cloud. The second is that a >> huge number of computers have been connected and organized in social >> networks. These changes have resulted in huge quantities of data and >> complex systems, a problem normal science cannot solve. The >> traditional hypothesis method can deal with simple correlations >> between A and B. But the method fails if the problem becomes more >> complex. Science has been synonymous with a separating, reductionistic >> approach. Contemporary science has come to a point where we will >> change the perspective from reductionism to holism. We now move to a >> position that sees things together: short systemics. The data-driven >> science approach changes the scientific method and results in a >> practice called "science 2.0" (named after web 2.0). "Science" will >> happen in the cloud, with new publishing formats such as direct >> publishing on blogs and direct publishing of our data in a human and >> computer readable database, new and fast ways of collaboration in >> social networks, and systems theory as the new "science" paradigm. >> Systems theory is already important in fields such as systems biology >> and its practical application synthetic biology.see NextGen VOICES, >> Science 6 January 2012: vol. 335 no. 6064 pp. 36-38 DOI: >> 10.1126/science.335.6064.36 >> http://www.sciencemag.org/content/335/6064/36/suppl/DC1 >> >> Best >> Gerd >> >> _______________________________________________ >> Wikidata-l mailing list >> Wikidata-l(a)lists.wikimedia.org >> https://lists.wikimedia.org/mailman/listinfo/wikidata-l >> > > > _______________________________________________ > Wikidata-l mailing list > Wikidata-l(a)lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wikidata-l > > _______________________________________________ Wikidata-l mailing list Wikidata-l(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata-l

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